Triple
T4661046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYU Violets |
E102529
|
entity |
| Predicate | teamNameDerivedFrom |
P30598
|
FINISHED |
| Object | violet color |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: violet color | Statement: [NYU Violets, teamNameDerivedFrom, violet color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNameDerivedFrom Context triple: [NYU Violets, teamNameDerivedFrom, violet color]
-
A.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
-
B.
teamNameType
Indicates the type or category associated with a team's name (e.g., formal name, short name, nickname).
-
C.
teamNameInspiredBy
chosen
Indicates that the name of one team was chosen based on, influenced by, or derived from another entity (such as a person, place, concept, or other team).
-
D.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
-
E.
formerTeam2Name
Indicates that an entity was previously associated with a second former team identified by this name.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632a17cc8190bcdab0a13b89f5c0 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.